Dear Web Machine Learning WG,
With AI search platforms (ChatGPT, Gemini, Claude, Perplexity) increasingly mediating discovery, ensuring content is found, cited, and correctly attributed inside model-driven recommendations has become a measurable technical challenge.
I’ve published the AIVO Standard, a peer-reviewed framework defining benchmarks for:
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Citation integrity
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Entity clarity across multimodal content
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Prompt indexing and retrieval performance
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Bias mitigation in AI recommendation layers
Zenodo DOI: https://doi.org/10.5281/zenodo.16410942
Given the group’s focus on enabling machine learning in the browser and beyond, I’d like to explore whether AIVO-related specifications - particularly around structured data alignment, metadata interoperability, and retrieval testing, could complement current WebML work.
I welcome feedback on scope and potential collaboration paths within W3C.
Best regards,
Tim de Rosen
https://AIVOStandard.org
[horizontal bar]
Tim de Rosen
AIVO Search, Inc., CEO
"For leaders who refuse to be invisible"
[AIVO Search, Inc.]
131 Continental Dr Suite 305
Newark, Delaware 19713
https://aivosearch.com<https://aivosearch.com/>
